Abstract

The design and selection of ideal emitter discharge rates can be aided by accurate information regarding the wetted soil pattern under surface drip irrigation. The current field investigation was conducted in an apple orchard in SKUAST- Kashmir, Jammu and Kashmir, a Union Territory of India, during 2017–2019. The objective of the experiment was to examine the movement of moisture over time and assess the extent of wetting in both horizontal and vertical directions under point source drip irrigation with discharge rates of 2, 4, and 8 L h−1. At 30, 60, and 120 min since the beginning of irrigation, a soil pit was dug across the length of the wetted area on the surface in order to measure the wetting pattern. For measuring the soil moisture movement and wetted soil width and depth, three replicas of soil samples were collected according to the treatment and the average value were considered. As a result, 54 different experiments were conducted, resulting in the digging of pits [3 emitter discharge rates × 3 application times × 3 replications × 2 (after application and 24 after application)]. This study utilized the Drip-Irriwater model to evaluate and validate the accuracy of predictions of wetting fronts and soil moisture dynamics in both orientations. Results showed that the modeled values were very close to the actual field values, with a mean absolute error of 0.018, a mean bias error of 0.0005, a mean absolute percentage error of 7.3, a root mean square error of 0.023, a Pearson coefficient of 0.951, a coefficient of correlation of 0.918, and a Nash–Sutcliffe model efficiency coefficient of 0.887. The wetted width just after irrigation was measured at 14.65, 16.65, and 20.62 cm; 16.20, 20.25, and 23.90 cm; and 20.00, 24.50, and 28.81 cm in 2, 4, and 8 L h−1, at 30, 60, and 120 min, respectively, while the wetted depth was observed 13.10, 16.20, and 20.44 cm; 15.10, 21.50, and 26.00 cm; 19.40, 25.00, and 31.00 cm, respectively. As the flow rate from the emitter increased, the amount of moisture dissemination grew (both immediately and 24 h after irrigation). The soil moisture contents were observed 0.4300, 0.3808, 0.2298, 0.1604, and 0.1600 cm3 cm−3 just after irrigation in 2 L h−1 while 0.4300, 0.3841, 0.2385, 0.1607, and 0.1600 cm3 cm−3 were in 4 L h−1 and 0.4300, 0.3852, 0.2417, 0.1608, and 0.1600 cm3 cm−3 were in 8 L h−1 at 5, 10, 15, 20, and 25 cm soil depth in 30 min of application time. Similar distinct increments were found in 60, and 120 min of irrigation. The findings suggest that this simple model, which only requires soil, irrigation, and simulation parameters, is a valuable and practical tool for irrigation design. It provides information on soil wetting patterns and soil moisture distribution under a single emitter, which is important for effectively planning and designing a drip irrigation system. Investigating soil wetting patterns and moisture redistribution in the soil profile under point source drip irrigation helps promote efficient planning and design of a drip irrigation system.

Details

Title
Modeling of soil moisture movement and wetting behavior under point-source trickle irrigation
Author
Vishwakarma, Dinesh Kumar 1   VIAFID ORCID Logo  ; Kumar, Rohitashw 2   VIAFID ORCID Logo  ; Abed, Salwan Ali 3   VIAFID ORCID Logo  ; Al-Ansari, Nadhir 4   VIAFID ORCID Logo  ; Kumar, Amit 5 ; Kushwaha, Nand Lal 6   VIAFID ORCID Logo  ; Yadav, Devideen 7   VIAFID ORCID Logo  ; Kumawat, Anita 8 ; Kuriqi, Alban 9   VIAFID ORCID Logo  ; Alataway, Abed 10 ; Dewidar, Ahmed Z. 11 ; Mattar, Mohamed A. 12   VIAFID ORCID Logo 

 Govind Ballabh Pant University of Agriculture and Technology, Department of Irrigation and Drainage Engineering, Pantnagar, India (GRID:grid.440691.e) (ISNI:0000 0001 0708 4444) 
 Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, College of Agricultural Engineering and Technology, Srinagar, India (GRID:grid.444725.4) (ISNI:0000 0004 0500 6225) 
 University of Al-Qadisiyah, College of Science, Qadisiyyah, Iraq (GRID:grid.440842.e) (ISNI:0000 0004 7474 9217) 
 Lulea University of Technology, Department of Civil, Environmental, and Natural Resources Engineering, Lulea, Sweden (GRID:grid.6926.b) (ISNI:0000 0001 1014 8699) 
 Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Division of Fruit Science, Faculty of Horticulture, Srinagar, India (GRID:grid.444725.4) (ISNI:0000 0004 0500 6225) 
 ICAR-Indian Agricultural Research Institute, Division of Agricultural Engineering, New Delhi, India (GRID:grid.418196.3) (ISNI:0000 0001 2172 0814) 
 ICAR-Indian Institute of Soil and Water Conservation, Division of Soil Science and Agronomy, Dehradun, India (GRID:grid.464537.7) (ISNI:0000 0004 1761 0817) 
 ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Kota, India (GRID:grid.464537.7) (ISNI:0000 0004 1761 0817) 
 University of Lisbon, CERIS, Instituto Superior Técnico, Lisbon, Portugal (GRID:grid.9983.b) (ISNI:0000 0001 2181 4263); University for Business and Technology, Civil Engineering Department, Pristina, Kosovo (GRID:grid.502329.f) (ISNI:0000 0004 4687 4264) 
10  King Saud University, Prince Sultan Bin Abdulaziz International Prize for Water Chair, Prince Sultan Institute for Environmental, Water and Desert Research, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396) 
11  King Saud University, Prince Sultan Bin Abdulaziz International Prize for Water Chair, Prince Sultan Institute for Environmental, Water and Desert Research, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396); King Saud University, Department of Agricultural Engineering, College of Food and Agriculture Sciences, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396) 
12  King Saud University, Prince Sultan Bin Abdulaziz International Prize for Water Chair, Prince Sultan Institute for Environmental, Water and Desert Research, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396); King Saud University, Department of Agricultural Engineering, College of Food and Agriculture Sciences, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396); Agricultural Engineering Research Institute (AEnRI), Agricultural Research Centre, Giza, Egypt (GRID:grid.418376.f) (ISNI:0000 0004 1800 7673) 
Pages
14981
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2863647956
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.